Literature DB >> 22225067

Estimating material viscoelastic properties based on surface wave measurements: a comparison of techniques and modeling assumptions.

Thomas J Royston1, Zoujun Dai, Rajesh Chaunsali, Yifei Liu, Ying Peng, Richard L Magin.   

Abstract

Previous studies of the first author and others have focused on low audible frequency (<1 kHz) shear and surface wave motion in and on a viscoelastic material comprised of or representative of soft biological tissue. A specific case considered has been surface (Rayleigh) wave motion caused by a circular disk located on the surface and oscillating normal to it. Different approaches to identifying the type and coefficients of a viscoelastic model of the material based on these measurements have been proposed. One approach has been to optimize coefficients in an assumed viscoelastic model type to match measurements of the frequency-dependent Rayleigh wave speed. Another approach has been to optimize coefficients in an assumed viscoelastic model type to match the complex-valued frequency response function (FRF) between the excitation location and points at known radial distances from it. In the present article, the relative merits of these approaches are explored theoretically, computationally, and experimentally. It is concluded that matching the complex-valued FRF may provide a better estimate of the viscoelastic model type and parameter values; though, as the studies herein show, there are inherent limitations to identifying viscoelastic properties based on surface wave measurements.
© 2011 Acoustical Society of America

Year:  2011        PMID: 22225067      PMCID: PMC3257759          DOI: 10.1121/1.3655883

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  24 in total

1.  Shear wave elasticity imaging: a new ultrasonic technology of medical diagnostics.

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2.  Surface response of a viscoelastic medium to subsurface acoustic sources with application to medical diagnosis.

Authors:  Thomas J Royston; Yigit Yazicioglu; Francis Loth
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3.  Quantifying viscoelasticity of gelatin phantoms by measuring impulse response using compact optical sensors.

Authors:  Bo Qiang; James Greenleaf; Xiaoming Zhang
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4.  Viscoelastic and anisotropic mechanical properties of in vivo muscle tissue assessed by supersonic shear imaging.

Authors:  Jean-Luc Gennisson; Thomas Deffieux; Emilie Macé; Gabriel Montaldo; Mathias Fink; Mickaël Tanter
Journal:  Ultrasound Med Biol       Date:  2010-05       Impact factor: 2.998

5.  Viscoelastic characterization of in vitro canine tissue.

Authors:  Miklos Z Kiss; Tomy Varghese; Timothy J Hall
Journal:  Phys Med Biol       Date:  2004-09-21       Impact factor: 3.609

6.  Microscopic magnetic resonance elastography (microMRE).

Authors:  Shadi F Othman; Huihui Xu; Thomas J Royston; Richard L Magin
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7.  Noninvasive assessment of the rheological behavior of human organs using multifrequency MR elastography: a study of brain and liver viscoelasticity.

Authors:  Dieter Klatt; Uwe Hamhaber; Patrick Asbach; Jürgen Braun; Ingolf Sack
Journal:  Phys Med Biol       Date:  2007-11-23       Impact factor: 3.609

8.  Ultrasonic imaging of internal vibration of soft tissue under forced vibration.

Authors:  Y Yamakoshi; J Sato; T Sato
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  1990       Impact factor: 2.725

9.  Noninvasive method for estimation of complex elastic modulus of arterial vessels.

Authors:  Xiaoming Zhang; Randall R Kinnick; Mostafa Fatemi; James F Greenleaf
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2005-04       Impact factor: 2.725

10.  Effect of postmortem changes and freezing on the viscoelastic properties of vocal fold tissues.

Authors:  Roger W Chan; Ingo R Titze
Journal:  Ann Biomed Eng       Date:  2003-04       Impact factor: 3.934

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  12 in total

1.  A comprehensive computational model of sound transmission through the porcine lung.

Authors:  Zoujun Dai; Ying Peng; Brian M Henry; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Acoust Soc Am       Date:  2014-09       Impact factor: 1.840

2.  Comparison of Poroviscoelastic Models for Sound and Vibration in the Lungs.

Authors:  Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Vib Acoust       Date:  2014-07-25       Impact factor: 1.583

3.  Experimental and Computational Studies of Sound Transmission in a Branching Airway Network Embedded in a Compliant Viscoelastic Medium.

Authors:  Zoujun Dai; Ying Peng; Hansen A Mansy; Richard H Sandler; Thomas J Royston
Journal:  J Sound Vib       Date:  2015-03-17       Impact factor: 3.655

4.  Ultra wideband (0.5-16 kHz) MR elastography for robust shear viscoelasticity model identification.

Authors:  Yifei Liu; Temel K Yasar; Thomas J Royston
Journal:  Phys Med Biol       Date:  2014-12-21       Impact factor: 3.609

5.  Sound transmission in porcine thorax through airway insonification.

Authors:  Ying Peng; Zoujun Dai; Hansen A Mansy; Brian M Henry; Richard H Sandler; Robert A Balk; Thomas J Royston
Journal:  Med Biol Eng Comput       Date:  2015-08-18       Impact factor: 2.602

6.  Wideband MR elastography for viscoelasticity model identification.

Authors:  Temel K Yasar; Thomas J Royston; Richard L Magin
Journal:  Magn Reson Med       Date:  2012-09-21       Impact factor: 4.668

7.  Dynamic viscoelastic models of human skin using optical elastography.

Authors:  Steven P Kearney; Altaf Khan; Zoujun Dai; Thomas J Royston
Journal:  Phys Med Biol       Date:  2015-08-25       Impact factor: 3.609

8.  Sound transmission in the chest under surface excitation: an experimental and computational study with diagnostic applications.

Authors:  Ying Peng; Zoujun Dai; Hansen A Mansy; Richard H Sandler; Robert A Balk; Thomas J Royston
Journal:  Med Biol Eng Comput       Date:  2014-07-08       Impact factor: 2.602

9.  Ultrafast ultrasound imaging of surface acoustic waves induced by laser excitation compared with acoustic radiation force.

Authors:  Lingyi Zhao; Don Vanderlaan; Heechul Yoon; Jingfei Liu; Changhui Li; Stanislav Y Emelianov
Journal:  Opt Lett       Date:  2020-04-01       Impact factor: 3.776

10.  Predicting lung mass density of patients with interstitial lung disease and healthy subjects using deep neural network and lung ultrasound surface wave elastography.

Authors:  Boran Zhou; Brian J Bartholmai; Sanjay Kalra; Xiaoming Zhang
Journal:  J Mech Behav Biomed Mater       Date:  2020-02-07
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